BirdFlow is an innovative, NSF-funded project that uses the Cornell Lab’s eBird database to infer the movements of migratory bird populations across the annual cycle. We are looking for a quantitative ecologist that will lead research that utilizes BirdFlow models to expand our knowledge of bird movements, including studying migratory connectivity and its associations with population trends, investigating species’ resilience to climate change and environmental fluctuations, and exploring BirdFlow models for providing real-time information on species’ movements in the context of the BirdCast public website. You will also have an opportunity to work with additional data sources, such as BirdCast radar data, individual tracking data and banding data, to improve and validate BirdFlow models. Our team includes a diverse group of ornithologists and computer scientist, bringing together researchers at Cornell Lab, UMass Amherst and University of Illinois at Urbana Champaign. In addition to working on exciting ecological research, you will be able to contribute to products and software that will be released for scientists, conservation practitioners, industry, and the public, broadening the impact of your research. This position is in person at the Lab of Ornithology in Ithaca NY. We are looking for someone to start as soon as possible, preferably before the end of the year. Options exist for a hybrid work schedule.
Official Job listing: https://academicjobsonline.org/ajo/jobs/27782
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